Accelerate Product Development
Simulate material behavior early in the design process to reduce the need for physical prototyping and testing, bringing products to market faster.
Digimat: The Multiscale Material Modeling Platform
Drive performance through materials simulations
Digimat: The Multiscale Material Modeling Platform
Drive performance through materials simulations
Material engineering is evolving from empirical experimentation to simulation-driven innovation. Digimat empowers engineers and designers to create accurate digital twins of materials, capturing complex behaviors and manufacturing effects with precision.
Why choose Digimat: The Multiscale Material Modeling Platform?
Minimize Physical Testing
Cut down on costly and time-consuming lab work by leveraging accurate virtual material models that streamline development workflows.
Reduce Development Costs
Use digital twins to efficiently screen material candidates, minimize trial-and-error, and accelerate the selection of optimal material systems.
Achieve Sustainability
Reduce material waste and optimize designs to support eco-conscious engineering.
Enable Lightweight Designs
Apply multiscale simulations to design lightweight components without compromising strength or performance.
Enhance Reliability
Link material properties, manufacturing processes, and structural performance to make holistic, performance-driven design decisions with high confidence.
Improve Simulation Accuracy
Integrate micromechanical models with structural FEA to account for manufacturing effects and material anisotropic—resulting in simulations that closely match experimental results.
Innovate with AI
Harness AI, machine learning, and advanced simulation to explore new material systems, assess variability, and unlock faster innovation cycles.
Capabilities of Digimat: The Multiscale Material Modeling Platform
Accelerate Innovation with Advanced Material Modeling
Digimat offers a comprehensive set of tools for modeling advanced materials. From virtual testing to multiscale modeling to structural performance, Digimat delivers insights that help you design smarter, simulate faster.
Multiscale Simulations
Simulate nonlinear behavior by integrating manufacturing effects like fiber orientations, weld lines, and curing defects for accurate performance predictions.
Structural Performance
Integrate with FEA tools to simulate stiffness, strength, impact, fatigue, and creep, then use post-processing capabilities to predict lifetime and assess failure variability.
Reverse Engineering
Calibrate advanced material models based on limited experimental data tailored to specific design requirements.
Virtual Material Testing and Screening
Replace costly physical tests with virtual simulations and create digital twins to understand material behaviors and optimize material selection and design.
Effect of Defects
Study the effect of porosity, delamination, or waviness defects in coupon tests and account for variability through sensitivity studies to reduce development time and cost.
Uncertainty Quantification
Assess variability in material properties and manufacturing processes, and quantify confidence levels in simulation results to make robust design decisions and improve reliability.
Injection Gate Optimization
Evaluate multiple gate scenarios and then simulate molding and structural behavior to identify optimal gate positions to enhance part performance.
Additive Manufacturing
Simulate 3D printing processes of polymers and composites to identify porosity defects, model residual stresses and warpage, and optimize toolpaths and compensation strategies to improve part quality.
Predicting Weld Line Failure at Molex Using Digimat
See how Molex uses Digimat to predict weld line failure, map fiber orientation, and improve structural analysis accuracy for molded plastic parts.
Achieving Robust Design with Recycled Materials Using Uncertainty Quantification
See how RadiciGroup uses Digimat UQ and AI/ML to evaluate recycled polymer variability, improve design confidence, and support sustainable part design.
Solving Warpage Challenges in SMC Battery Enclosures
See how SMC battery solved enclosure warpage, reduce scrap, avoid mold rework, and improve electric vehicle component reliability using Digimat simulation.
Digimat-AM
Simulate polymer additive manufacturing processes to predict porosity, warpage, and residual stresses. Optimize toolpaths and compensation strategies for first-time-right prints.
Digimat-FE
Generate representative volume elements and perform finite element or FFT analysis to explore detailed microstructural behavior. Gain deeper insights into composite performance at the microscopic level.
Digimat-MF
Quickly compute the macroscopic behavior of multiphase materials using mean-field homogenization. Achieve fast and reliable simulations of composite properties with minimal computational cost.
Digimat-MS
Predict part performance with high confidence by integrating manufacturing effects through multiscale simulation. Account for fiber orientation, weld lines, and other process-induced microstructures.
Digimat-MX
Access a comprehensive reinforced plastics database linked to leading suppliers. Quickly calibrate models using limited experimental data, store and securely share them across teams.
Digimat-VA
Virtually define test matrices for composite laminates, accounting for variability in materials, processes, and testing. Predict coupon behavior and compute virtual allowables without lengthy physical tests.
Frequently asked questions
Where can I get more information about Digimat: The Multiscale Material Modeling Platform?
Contact NEAX for the latest product information, suitability, deployment scope, and implementation guidance.
Discuss Digimat: The Multiscale Material Modeling Platform with NEAX
Talk with NEAX about product fit, deployment scope, integration, training, and adoption.